{"id":1670,"date":"2015-07-07T08:40:00","date_gmt":"2015-07-07T13:40:00","guid":{"rendered":"https:\/\/blogs.mathworks.com\/videos\/?p=1670"},"modified":"2015-07-07T08:40:00","modified_gmt":"2015-07-07T13:40:00","slug":"parallel-and-gpu-computing-tutorial-video-series","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/videos\/2015\/07\/07\/parallel-and-gpu-computing-tutorial-video-series\/","title":{"rendered":"Parallel and GPU Computing Tutorial Video Series"},"content":{"rendered":"<p>Using MATLAB in recent years on computationally intensive problems that take a long time to run, I notice that MATLAB does not always make use of all the cores on my machine. Also, sometimes I can&#8217;t fit my entire data set into available memory.<\/p>\n<p>I&#8217;ve found these issues can often be addressed with parallel and GPU computing, often with minimal changes to my code. I think this video and others in the <a href=\"https:\/\/www.mathworks.com\/videos\/series\/parallel-and-gpu-computing-tutorials-97719.html\"> video tutorial series<\/a> are a good introduction to the area. You can also download all the  <a href=\"https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/46711-tutorials--parallel-and-gpu-computing-with-matlab--all-in-one--9-parts-\"> code examples<\/a>  to follow along.<\/p>\n<p><div class=\"row\"><div class=\"col-xs-12 containing-block\"><div class=\"bc-outer-container add_margin_20\"><videoplayer><div class=\"video-js-container\"><video data-video-id=\"3521049155001\" data-video-category=\"blog\" data-autostart=\"false\" data-account=\"62009828001\" data-omniture-account=\"mathwgbl\" data-player=\"rJ9XCz2Sx\" data-embed=\"default\" id=\"mathworks-brightcove-player\" class=\"video-js\" controls><\/video><script src=\"\/\/players.brightcove.net\/62009828001\/rJ9XCz2Sx_default\/index.min.js\"><\/script><script>if (typeof(playerLoaded) === 'undefined') {var playerLoaded = false;}(function isVideojsDefined() {if (typeof(videojs) !== 'undefined') {videojs(\"mathworks-brightcove-player\").on('loadedmetadata', function() {playerLoaded = true;});} else {setTimeout(isVideojsDefined, 10);}})();<\/script><\/div><\/videoplayer><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<div class=\"thumbnail thumbnail_asset asset_overlay video\"><a href=\"https:\/\/blogs.mathworks.com\/videos\/2015\/07\/07\/parallel-and-gpu-computing-tutorial-video-series\/?dir=autoplay\"><img decoding=\"async\" src=\"\" onError=\"this.style.display ='none';\"\/><\/p>\n<div class=\"overlay_container\">\n      <span class=\"icon-video icon_color_null\"><time class=\"video_length\">0:00<\/time><\/span>\n      <\/div>\n<p>      <\/a><\/div>\n<p>Using MATLAB in recent years on computationally intensive problems that take a long time to run, I notice that MATLAB does not always make use of all the cores on my machine. Also, sometimes I&#8230; <a class=\"read-more\" href=\"https:\/\/blogs.mathworks.com\/videos\/2015\/07\/07\/parallel-and-gpu-computing-tutorial-video-series\/\">read more >><\/a><\/p>\n","protected":false},"author":133,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.mathworks.com\/videos\/wp-json\/wp\/v2\/posts\/1670"}],"collection":[{"href":"https:\/\/blogs.mathworks.com\/videos\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.mathworks.com\/videos\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/videos\/wp-json\/wp\/v2\/users\/133"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/videos\/wp-json\/wp\/v2\/comments?post=1670"}],"version-history":[{"count":23,"href":"https:\/\/blogs.mathworks.com\/videos\/wp-json\/wp\/v2\/posts\/1670\/revisions"}],"predecessor-version":[{"id":1722,"href":"https:\/\/blogs.mathworks.com\/videos\/wp-json\/wp\/v2\/posts\/1670\/revisions\/1722"}],"wp:attachment":[{"href":"https:\/\/blogs.mathworks.com\/videos\/wp-json\/wp\/v2\/media?parent=1670"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/videos\/wp-json\/wp\/v2\/categories?post=1670"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/videos\/wp-json\/wp\/v2\/tags?post=1670"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}